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Peer-Review Statements
Authors
Narayan Vyas1, *, Amit Sharma1, Anand Nayyar2, Manish Shrivastava3, Dankan Gowda V4
1Department of Computer Science and Application, Vivekananda Global University, Jaipur, India
2School of Computer Science (SCS), Duy Tan University, Da Nang, Vietnam
3Department of Computer Science and Engineering, Vivekananda Global University, Jaipur, India
4Department of Electronics and Communication Engineering, BMS Institute of Technology and Management, Bangalore, India
*Corresponding author.
Email: contact@narayanvyas.com
Corresponding Author
Narayan Vyas
Available Online 19 April 2025.
- DOI
- 10.2991/978-94-6463-700-7_1How to use a DOI?
- Abstract
All articles in this proceedings volume have been presented at the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025) on 21st and 22nd February 2025 at Vivekananda Global University, Jaipur, India. These articles have been peer-reviewed by the members of the organizing committee and technical program committee, as well as reviewers, and approved by the editor-in-chief, who affirms that this document is a truthful description of the conference’s review process.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
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TY - CONF AU - Narayan Vyas AU - Amit Sharma AU - Anand Nayyar AU - Manish Shrivastava AU - Dankan Gowda V PY - 2025 DA - 2025/04/19 TI - Peer-Review Statements BT - Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025) PB - Atlantis Press SP - 1 EP - 3 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-700-7_1 DO - 10.2991/978-94-6463-700-7_1 ID - Vyas2025 ER -